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{{PublicationSetupTemplate|Author=Adas Gelzinis, Antanas Verikas, Marija Bacauskiene
|PID=239283
|Name=Gelzinis, Adas (Department of Applied Electronics, Kaunas University of Technology, Lithuania);Verikas, Antanas [av] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938]);Bacauskiene, Marija (Department of Applied Electronics, Kaunas University of Technology, Lithuania)
|Title=Categorizing laryngeal images for decision support
|PublicationType=Book Chapter
|ContentType=Refereegranskat
|Language=eng
|Journal=
|JournalISSN=
|Status=
|Volume=
|Issue=
|HostPublication=Advanced Concepts for Intelligent Vision Systems : 9th International Conference, ACIVS 2007, Delft, The Netherlands, August 28-31, 2007 ; proceedings
|Conference=
|StartPage=521
|EndPage=530
|Year=2007
|Edition=
|Pages=
|City=Berlin
|Publisher=Springer Berlin/Heidelberg
|Series=Lecture Notes in Computer Science ; Volume 4678/2007
|SeriesISSN=0302-9743
|ISBN=978-3-540-74606-5
|Urls=
|ISRN=
|DOI=http://dx.doi.org/10.1007/978-3-540-74607-2_47
|ISI=
|PMID=
|ScopusId=
|NBN=urn:nbn:se:hh:diva-2065
|LocalId=2082/2460
|ArchiveNumber=
|Keywords=Automated analysis;Laryngeal diseases;Vocal fold images
|Categories=Systemvetenskap (10202)
|ResearchSubjects=
|Projects=
|Notes=
|Abstract=<p>This paper is concerned with an approach to automated analysis of vocal fold images aiming to categorize laryngeal diseases. Colour, texture, and geometrical features are used to extract relevant information. A committee of support vector machines is then employed for performing the categorization of vocal fold images into healthy, diffuse, and nodular classes. The discrimination power of both, the original and the space obtained based on the kernel principal component analysis is investigated. A correct classification rate of over 92% was obtained when testing the system on 785 vocal fold images. Bearing in mind the high similarity of the decision classes, the correct classification rate obtained is rather encouraging.</p>
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|DefenceDate=
|CreatedDate=2008-10-20
|PublicationDate=2008-10-20
|LastUpdated=2012-12-20
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:239283}}
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 {{PublicationSetupTemplate|Author=Adas Gelzinis, Antanas Verikas, Marija Bacauskiene
 |PID=239283
-|Name=Gelzinis, Adas (Department of Applied Electronics, Kaunas University of Technology, Lithuania);Verikas, Antanas [av] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938]);Bacauskiene, Marija (Department of Applied Electronics, Kaunas University of Technology, Lithuania)
+|Name=Gelzinis, Adas (Department of Applied Electronics, Kaunas University of Technology, Lithuania);Verikas, Antanas (av) (0000-0003-2185-8973) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938));Bacauskiene, Marija (Department of Applied Electronics, Kaunas University of Technology, Lithuania)
 |Title=Categorizing laryngeal images for decision support
 |PublicationType=Book Chapter
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 |CreatedDate=2008-10-20
 |PublicationDate=2008-10-20
-|LastUpdated=2012-12-20
+|LastUpdated=2014-11-10
 |diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:239283}}
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Publications:Categorizing laryngeal images for decision support - Revision history

Slawek at 20:41, 30 September 2016

SlawekBot: Created page with " == Do not edit this section == {{PublicationSetupTemplate|Author=Adas Gelzinis, Antanas Verikas, Marija Bacauskiene |PID=239283 |Name=Gelzin..."

SlawekBot: Created page with "
== Do not edit this section ==
{{PublicationSetupTemplate|Author=Adas Gelzinis, Antanas Verikas, Marija Bacauskiene |PID=239283 |Name=Gelzin..."